LMS {powerNLSEM} | R Documentation |
Latent moderated strctured equations by Klein and Moosbrugger (2000), the ML approach to nonlinear SEM
LMS(
lavModel_Analysis,
data,
data_transformations = NULL,
prefix = 1,
pathLMS = tempdir(),
algorithm = "INTEGRATION"
)
lavModel_Analysis |
the lavModel_Analysis object |
data |
set to fit |
data_transformations |
Object containing info on possible data transformations. |
prefix |
an arbitrary prefix for the data set. This prevents issues when using parallelization and Mplus. |
pathLMS |
path where (temporal) data and scripts for running LMS using Mplus are stored (using |
algorithm |
algorithm to use. Default to INTEGRATION. |
Returns a data.frame
that includes parameter estimates estimated using LMS.
Klein, A. G., & Moosbrugger, H. (2000). Maximum likelihood estimation of latent interaction effects with the LMS method. Psychometrika, 65(4), 457–474. doi:10.1007/BF02296338